Evidence map›Paper›PMID 42713565›Full record

ArticleOpen life sciences2026

Immune regulatory networks and gut microbiota-associated targets in endometriosis: an integrative multi-omics and network analysis.

Yan Liu, Shurong Liu, Chunyan Zhang, Lihua Pei, Jingyi Wu

Abstract read
In one paragraph

Article in Open life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yan LiuDepartment of Gynaecology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China.
Shurong LiuDepartment of Radiology, The Third People's Hospital of Longgang, Clinical Institute of Shantou University Medical College (The Third People's Hospital of Longgang District Shenzhen/Longgang Institute of Medical Imaging), Shantou University Medical College & The Third People's Hospital of Longgang District, Shenzhen, Guangdong Province, China.
Chunyan ZhangDepartment of Gynaecology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China.
Lihua PeiDepartment of Gynaecology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi Province, China.
Jingyi WuDepartment of Chinese Medicine (Integrated Chinese and Western Medicine), Taizhou Municipal Hospital (Taizhou University Affiliated Municipal Hospital), Taizhou University, Taizhou City, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is an estrogen-dependent disorder characterized by chronic inflammation, immune dysregulation, and altered hormone metabolism. Although gut microbiota-derived metabolites have been implicated in shaping immune microenvironments and lesion development, the underlying regulatory mechanisms remain incompletely understood. Here, we integrated multi-omics, protein-protein interaction (PPI), SHapley Additive exPlanations (SHAP), and single-cell transcriptomics to identify core targets and delineate their interactions with microbiota-derived metabolites, followed by molecular simulations to evaluate metabolite-target binding stability. In this study, we identified 61 differentially expressed genes (DEGs) associated with microbial metabolites. Among these, MET and SELL emerged as key hub genes, with MET showing a potentially protective association and SELL exhibiting a modest positive association with endometriosis risk. Specific gut microbes, including

Indexed as

endometriosisgut microbiotaimmune microenvironment`METmetabolitesSELL

Identifiers

PMID42713565
PMCPMC13552619

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.